Data Science for Sustainable Development Goals by Sarkar, Avik; Mukhopadhyay, Bappaditya;

Short description:

The book is an authoritative reference on real-life applications of Data Science and Big Data for SDGs. It includes a list of case studies from different regions across India. It serves as a valuable resource for students, researchers, and scholars seeking to deepen their knowledge and engage with real life applications of Data Science.

Long description:

The book presents real-life applications of Data Science and Big Data for Sustainable Development Goals. It includes a list of case studies from different regions across India. The book uses both structured and unstructured data like numeric data, textual data, video/image data, etc., across the various chapters for the analysis. It further delves into various data science techniques, starting from data collection on the ground in the unavailability of data to a dashboard, reporting, unsupervised methods like clustering, artificial intelligence, machine learning and deep learning, search or information retrieval, time series forecasting, optimisation, etc.

• Showcase data science decision-making processes, driving innovation, and solving complex problems in real-case scenarios from across sectors like finance, healthcare, and e-commerce.

• The SDGs provide a framework for societal development and well-being for all; the data science and big data interventions in this book are aligned towards mapping the various SDG goals.

• Most of the data science use cases and initiatives projects covered in this book have been implemented by the central or state governments across different states of India.

• Shows how data science intervention can transform the social sector, potentially driving positive change and addressing critical societal challenges.

• Explained the fundamentals of data science theories, including concepts like classification, classification, regression, predictive analytics, optimisation, artificial intelligence, deep learning, time series forecasting, etc. for readers of different disciplines.

It serves as a valuable reference for graduate students, researchers, and scholars seeking to deepen their knowledge and engage with real life applications of Data Science. This will also serve as a valuable resource for government officers and policy practitioners, providing a range of cases on the use of data-based methods for improving governance and policy making.

The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license funded by by the Great Lakes Institute of Management, Gurgaon Campus, Delhi NCR, India.

Table of Contents:

1. CM Relief Fund prediction—Right amount of funds at the right time for the right cause  2. Sustainable Development Goals (SDGs) India Index: Journey of its Making  3. Janata + Data: Making Data Science and Participatory Planning Come Alive  4. Using Big Data To Create Evidence-Based Design For Gram Panchayat Development Plan To Encourage Targeted Development  5. Enhancing Reader Engagement & Creating Interaction Through Data Analysis  6. Vidhan Sabha Proceeding Search – “Making Governance Transparent, In People’s Language”  7. Identifying and Rectifying Urban Bias in Allocation of Targets in Rural Skilling Program in Kerala  8. Managing, Predicting, And Preventing The Coronavirus Outbreak In Orissa: A Data For Good Initiative  9. Child Health Cluster Analytics In Maharashtra - Non Key Indicators Tell Key Stories  10. Using Data Analytics To Improve Students’ Performance  11. Determinants Of Placements In The Indian Skilling Ecosystem  12. Decision Support System For Sustainable Growth In The Agriculture Sector  13. Use Of Satellite Imagery And Analytics For Replacing Crop-Cutting Experiments For Agriculture Yields  14. Harnessing Technology To Create Smart Farms And Achieve Agricultural Progress: Case Studies Across India  15. Supporting Farmers Through Comprehensive Real-Time Agricultural Advisory Using Spatial Analytics  16. Long-Term Rainfall Forecasting Using Data Science  17. Sundarbans Mangrove Tigers: How they came to be camera-trapped and counted  18. Integrated Energy Modelling for India  19. Evaluation Study To Assess The Performance Of Sanitation Coverage In Selected States  20. Data-Driven Approach To Determine Distribution Centers In Pradhan Mantri Ujjwala Yojana  21. Smart Sanitation At Kumbh 2019 22. Approaching Sustainable Development in Andhra Pradesh through Managing its Water Resources  23. Using Drones To Map And Assess Road Quality In Rural Andhra Pradesh  24. Facial Recognition: Translating Algorithmic Promise into Safer, More Sustainable Indian Cities  25. Revamping City Surveillance Through Deep Learning & Artificial Intelligence  26. Location casting: Identifying demand clusters via big data